Xi Jin

Orcid: 0000-0002-4159-2925

Affiliations:
  • University of Science and Technology of China, State Key Laboratory of Particle Detection and Electronics, Institute of Microelectronics, Department of Physics, SoC Lab, Hefei, China


According to our database1, Xi Jin authored at least 46 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks.
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023
FTW-GAT: An FPGA-Based Accelerator for Graph Attention Networks With Ternary Weights.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023

Degree-Aware Graph Neural Network Quantization.
Entropy, November, 2023

MCANet: Multiscale Cross-Modality Attention Network for Multispectral Pedestrian Detection.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Scheduling Memory Access Optimization for HBM Based on CLOS.
Proceedings of the 25th International Conference on Advanced Communication Technology, 2023

Dynamic Neural Network Accelerator for Multispectral detection Based on FPGA.
Proceedings of the 25th International Conference on Advanced Communication Technology, 2023

2022
Exploration of Balanced Design in Resource-Constrained Edge Device for Efficient CNNs.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

BaPipe: Balanced Pipeline Parallelism for DNN Training.
Parallel Process. Lett., 2022

QEGCN: An FPGA-based accelerator for quantized GCNs with edge-level parallelism.
J. Syst. Archit., 2022

G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing.
J. Syst. Archit., 2022

FP-GNN: Adaptive FPGA accelerator for Graph Neural Networks.
Future Gener. Comput. Syst., 2022

Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks.
CoRR, 2022

HuGraph: Acceleration of GCN Training on Heterogeneous FPGA Clusters with Quantization.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021
A hybrid precision low power computing-in-memory architecture for neural networks.
Microprocess. Microsystems, 2021

A Gather Accelerator for GNNs on FPGA Platform.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

Software-Hardware Co-Optimization on Partial-Sum Problem for PIM-based Neural Network Accelerator.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters.
IEEE Trans. Computers, 2020

A Real-Time Learning-Based Super-Resolution System on FPGA.
Parallel Process. Lett., 2020

Enhancing energy efficiency of RISC-V processor-based embedded graphics systems through frame buffer compression.
Microprocess. Microsystems, 2020

FPGA Implementation of A∗ Algorithm for Real-Time Path Planning.
Int. J. Reconfigurable Comput., 2020

BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training.
CoRR, 2020

TB-DNN: A Thin Binarized Deep Neural Network with High Accuracy.
Proceedings of the 22nd International Conference on Advanced Communication Technology, 2020

Exploration of Memory Access Optimization for FPGA-based 3D CNN Accelerator.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

RISC-V Graphics Rendering Instruction Set Extensions for Embedded AI Chips Implementation.
Proceedings of the BDET 2020: 2nd International Conference on Big Data Engineering and Technology, 2020

2019
A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing.
CoRR, 2019

CINT - An Energy-efficient Mixed-signal In-Memory CNN Accelerator Based on NOR Flash Memory.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

FP-AMR: A Reconfigurable Fabric Framework for Adaptive Mesh Refinement Applications.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Accelerating AP3M-Based Computational Astrophysics Simulations with Reconfigurable Clusters.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018
RP-Ring: A Heterogeneous Multi-FPGA Accelerator.
Int. J. Reconfigurable Comput., 2018

A pipelined division for fixed operation using user-defined floating point.
Proceedings of the 20th International Conference on Advanced Communication Technology, 2018

Accelerating a radio astronomy correlator on FPGA.
Proceedings of the 20th International Conference on Advanced Communication Technology, 2018

Soft-Core. Multiple-Lane, FPGA-based ADCs for a Liquid Helium Environment.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

An efficient resource-optimized learning prefetcher for solid state drives.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

A Real-Time Learning-Based Super-Resolution System Using Direct Simple Functions.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

2017
An Efficient Hardware Prefetcher Exploiting the Prefetch Potential of Long-Stride Access Pattern on Virtual Address.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016
A real-time global stereo-matching on FPGA.
Microprocess. Microsystems, 2016

An Accelerating Solution for N-Body MOND Simulation with FPGA-SoC.
Int. J. Reconfigurable Comput., 2016

Fixed-ratio DXT format Frame Buffer Compressor for mobile graphics systems.
Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

FPGA acceleration of TreePM N-body simulations for Modified Newton Dynamics.
Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

An Improved Global Stereo-Matching on FPGA for Real-Time Applications (Abstract Only).
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

an Extensible Heterogeneous Multi-FPGA Framework for Accelerating N-body Simulation (Abstract Only).
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

An FPGA-SOC Based Accelerating Solution for N-body Simulations in MOND (Abstract Only).
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

RP-Ring: A Heterogeneous Multi-FPGA Accelerating Solution for N-Body Simulations.
Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

2015
Design of a Distributed Compressor for Astronomy SSD.
Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2014
A Multi-phase Clock Time-to-Digital Convertor Based on ISERDES Architecture.
Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014


  Loading...